Deciphering Metabolic Heterogeneity by Single-Cell Analysis

被引：73

作者：

Evers, Tom M. J. ^{[1
]}

Hochane, Mazene ^{[2
]}

Tans, Sander J. ^{[3
]}

Heeren, Ron M. A. ^{[4
]}

Semrau, Stefan ^{[2
]}

Nemes, Peter ^{[5
]}

Mashaghi, Alireza ^{[1
]}

机构：

[1] Leiden Univ, Med Syst Biophys & Bioengn, Leiden Acad Ctr Drug Res, Fac Math & Nat Sci, Einsteinweg 55, NL-2333 CC Leiden, Netherlands

[2] Leiden Univ, Leiden Inst Phys, Einsteinweg 55, NL-2333 CC Leiden, Netherlands

[3] AMOLF Inst, Sci Pk 104, NL-1098 XG Amsterdam, Netherlands

[4] Maastricht Univ, Maastricht MultiModal Mol Imaging Inst M4I, Div Imaging Mass Spectrometry, Univ Singel 50, NL-6229 ER Maastricht, Netherlands

[5] Univ Maryland, Dept Chem & Biochem, College Pk, MD 20742 USA

来源：

ANALYTICAL CHEMISTRY | 2019年 / 91卷 / 21期

基金：

美国国家卫生研究院; 美国国家科学基金会;

关键词：

IONIZATION MASS-SPECTROMETRY; CAPILLARY-ELECTROPHORESIS; RNA-SEQ; EMBRYONIC-CELLS; LIVE CELLS; DYNAMICS; REVEALS; PROTEOMICS; CYTOMETRY; PROTEIN;

D O I：

10.1021/acs.analchem.9b02410

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Single-cell analysis provides insights into cellular heterogeneity and dynamics of individual cells. This Feature highlights recent developments in key analytical techniques suited for single-cell metabolic analysis with a special focus on mass spectrometry-based analytical platforms and RNA-seq as well as imaging techniques that reveal stochasticity in metabolism. © 2019 American Chemical Society.

引用

页码：13314 / 13323

页数：10

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